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    Jan Kaiser

    • Teams
      • Accelerators
      • Astroparticle Physics
      • Information Technology
      • Particle physics
      • Photon Science
      • European XFEL
      • Structural Biology
      • Materials

    PhD Student
    Group MSK (Maschine Beam Control)
    E-mail: jan.kaiser@desy.de

    Scientific fields

    • Accelerator

    Projects

    • Autonomous Accelerator
    • hir3x
    • Intelligent Process Controls

    Latest Publications

    1. Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations: Jan Kaiser et al., Phys. Rev. Accel. Beams, doi: 10.1103/PhysRevAccelBeams.27.054601
    2. Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language: Jan Kaiser et al., arXiv, doi: 10.48550/arXiv.2405.08888
    3. Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning: Jan Kaiser et al., arXiv, doi: 10.48550/arXiv.2306.03739
    4. Machine learning for combined scalar and spectral longitudinal phase space reconstruction: Jan Kaiser et al., JACoW Publishing, doi: 10.18429/JACoW-IPAC2023-THPL019
    5. Application of Machine Learning in Longitudinal Phase Space Prediction at the European XFEL: Zihan Zhu et al., Proceedings of the 40th International Free Electron Laser Conference (FEL2022), doi: https://indico.jacow.org/event/44/contributions/545/
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